Multiclass sparse bayesian regression for fmri-based prediction

HIGHLIGHTS

• who: Vincent Michel and collaborators from the Team, INRIA Saclay-Île-de- France have published the paper: Multiclass Sparse Bayesian Regression for fMRI-Based Prediction, in the Journal: (JOURNAL) of 23/Dec/2010
• what: The authors focus on regression problems and defer the generalization to classification to future work. This model has no spatial constraints and thus is not spatially regularized. The authors propose two different algorithms for inferring the parameters of the MCBR model. In the experiments , the proposed algorithms are compared to different state-of-the-art regularization methods. (i) Elastic Net . . .
  

   

  

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